Department of Computer Science

Artificial Intelligence and Machine Learning

Fundamentals and practical impact of AI on businesses and societies.
Artificial Intelligence applications, illustration Matti Ahlgren

AI is a major focus area of Aalto University and the Department of Computer Science. Building on the department's strong tradition that includes neural network pioneers Teuvo Kohonen and Erkki Oja.

Our research contributes both to the fundamentals of AI across its many subfields, as well as to the accelerating practical impact AI has on businesses and societies.

The Department of Computer Science is a key player in the Finnish Center for Artificial Intelligence FCAI, a major ecosystem of academic, private and public sector partners.

Machine Learning Coffee Seminar
Researchers having a discussion in a meeting room with their laptops open on the table

Engineering enzymes with AI

A research team from Aalto University and VTT will construct a virtual laboratory for enzyme engineering, which will allow human-AI collaboration to flourish.

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Kuvituskuvassa on vaaleanpunaisella pohjalla mustavalkoiset ihmiskasvot ja niiden yläpuolella sinisävyinen piirroskuva aivoista. Kasvojen ympärillä on yksittäisiä sanoja kuten "jungle" ja "tomato" sekä aivosähkökäyrää symboloiva aaltoviiva.

Artificial intelligence to assist the brain

Neuroscience and neurotechnology are gaining a fresh ally in the form of artificial intelligence, which can assess dementia risk and enhance the effectiveness of depression treatments.

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Gan.uvia

Forbes AI Award to research on image-creating GAN models

The magazine pays tribute to the development of a model that starkly reduces the amount of data needed for generating new, artificial images

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Related research groups

Latest publications

New methods for drug synergy prediction : A mini-review

Fatemeh Abbasi, Juho Rousu 2024 Current Opinion in Structural Biology

Protein function prediction through multi-view multi-label latent tensor reconstruction

Robert Ebo Armah-Sekum, Sandor Szedmak, Juho Rousu 2024 BMC Bioinformatics

Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer

Pranav Arora, Selen Pehlivan, Jorma Laaksonen 2024 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings

Learning symmetry-aware atom mapping in chemical reactions through deep graph matching

Maryam Astero, Juho Rousu 2024 JOURNAL OF CHEMINFORMATICS

Likelihood-free inference in state-space models with unknown dynamics

Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski 2024 STATISTICS AND COMPUTING

A Comparison of Hyperspectral Super-Resolution Techniques for Boreal Forest Imagery

Yuvrajsinh Chudasama, Usman Muhammad, Ville Mayra, Florent Guiotte, Jorma Laaksonen 2024 IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

Bayesian cross-validation by parallel Markov chain Monte Carlo

Alex Cooper, Aki Vehtari, Catherine Forbes, Dan Simpson, Lauren Kennedy 2024 STATISTICS AND COMPUTING

Can docstring reformulation with an LLM improve code generation?

Nicola Dainese, Alexander Ilin, Pekka Marttinen 2024 EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop

Embarrassingly Parallel GFlowNets

Tiago da Silva, Luis Max Carvalho, Amauri Souza, Samuel Kaski, Diego Mesquita 2024 Proceedings of the 41st International Conference on Machine Learning

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation

Hao Dong, Weihao Gu, Xianjing Zhang, Jintao Xu, Rui Ai, Huimin Lu, Juho Kannala, Xieyuanli Chen 2024 2024 IEEE International Conference on Robotics and Automation, ICRA 2024
More information on our research in the Aalto research portal.
Research portal
PML research gropu at department of computer science, photo Matti Ahlgren

Research in Computer Science

Research in the Department of Computer Science

Department of Computer Science
Artistic depiction of a bright light in space / made by Ray Scipak

School of Science

Science for tomorrow’s technology, innovations and businesses

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